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Supervision : concepts and skill-building / par Certo, Samuel C.

Table des matières: “…-- Modern supervision -- Challenges, functions of the supervisor, skills of the supervisor, and Supervision and human resources. Each part concludes with an exercise that is linked to instructor-accessible videos called the "Manager's hot seat video."…”

Supervision : concepts and skill-building / par Certo, Samuel C.

Table des matières: “…-- Modern supervision -- Challenges, functions of the supervisor, skills of the supervisor, and Supervision and human resources. Each part concludes with an exercise that is linked to instructor-accessible videos called the "Manager's hot seat video."…”

Auditing and assurance services/ par Arens, Alvin A.

Auditing and assurance services : an integrated approach / par Elder Randal J

Auditing and assurance services : an integrated approach / par Elder Randal J

Administrative law / par Craig, Paul

Administrative law / par Craig, Paul

Administrative law / par Craig, Paul

Understanding statistics / Bruce J. Chalmer

Table des matières: “…-- 3 Describing Data for a Single Variable -- 3.1 There are many ways of summarizing a set of data -- 3.2 Often we are interested in the entire population distribution -- 3.3 Some distributions can be approximated by mathematical functions -- 3.4 A histogram and frequency distribution are very useful descriptive tools -- 3.5 In a histogram, area represents relative frequency -- 3.6 The mean, median, and mode are useful for describing central tendency -- 3.7 The range and interquartile range are measures of variability -- 3.8 The standard deviation is the most commonly used measure of variability -- 3.9 The standard deviation is computed differently for samples versus populations -- 4 Some Distributions Used in Statistical Inference -- 4.1 Knowing the sampling distribution of a statistic allows us to draw inferences from sample data -- 4.2 The standard normal distribution is used to find areas under any normal curve -- 4.3 The binomial distribution is used for variables that count the number of yeses -- 4.4 To calculate binomial probabilities, we need to find the probability of each possible outcome -- 4.5 We next find the number of relevant outcomes and multiply it by the probability of each relevant outcome -- 4.6 Binomial probabilities can be computed from a general formula and are also available in tables -- 4.7 A binomial distribution with large n and moderate p is approximately normal -- 5 Interval Estimation -- 5.1 The standard error of a statistic is the standard deviation of its sampling distribution -- 5.2 The CLT can be applied to draw inferences about the population mean -- 5.3 If we know…”

Understanding statistics / Bruce J. Chalmer par CHALMER, Bruce J.

Table des matières: “…-- 3 Describing Data for a Single Variable -- 3.1 There are many ways of summarizing a set of data -- 3.2 Often we are interested in the entire population distribution -- 3.3 Some distributions can be approximated by mathematical functions -- 3.4 A histogram and frequency distribution are very useful descriptive tools -- 3.5 In a histogram, area represents relative frequency -- 3.6 The mean, median, and mode are useful for describing central tendency -- 3.7 The range and interquartile range are measures of variability -- 3.8 The standard deviation is the most commonly used measure of variability -- 3.9 The standard deviation is computed differently for samples versus populations -- 4 Some Distributions Used in Statistical Inference -- 4.1 Knowing the sampling distribution of a statistic allows us to draw inferences from sample data -- 4.2 The standard normal distribution is used to find areas under any normal curve -- 4.3 The binomial distribution is used for variables that count the number of yeses -- 4.4 To calculate binomial probabilities, we need to find the probability of each possible outcome -- 4.5 We next find the number of relevant outcomes and multiply it by the probability of each relevant outcome -- 4.6 Binomial probabilities can be computed from a general formula and are also available in tables -- 4.7 A binomial distribution with large n and moderate p is approximately normal -- 5 Interval Estimation -- 5.1 The standard error of a statistic is the standard deviation of its sampling distribution -- 5.2 The CLT can be applied to draw inferences about the population mean -- 5.3 If we know…”

Cost accounting par Khan, M. Y.

Understanding jurisprudence : an introduction to legal theory / par Wacks, Raymond

Karl Marx : a reader par Marx, Karl, 1818-1883

Human resource management in health care : principles and practice / par McConnell, Charles R.

Society explained : an introduction to sociology / par Rousseau, Nathan

Principles of management accounting Vol. 1 par Maheshwari, S. N.

Introduction to computers and basic programming / par XAVIER

Principles of management accounting Vol. 1 par Maheshwari, S. N.